Summary
Jumar Alam is an AI data training specialist and computer scientist with nine years of hands-on experience across academia and industry, currently shaping LLM datasets at Invisible Technologies while supporting Pro accounts at The Home Depot Canada. He holds an MS and BS in Computer Science and Engineering and has a strong teaching and research background from UBC, where he worked as a Graduate Teaching and Research Assistant and supported accessibility-focused exam invigilation. Technically fluent in SQL, scripting, multiple programming paradigms, databases, Linux, ML and LLM workflows, he excels at turning research insights into robust data engineering solutions. Known for logical rigor and collaborative problem solving, he brings classroom-tested pedagogy to cross-disciplinary teams. An inquisitive explorer by nature, he blends practical retail and academic experience to build sustainable, production-ready AI data processes.
8 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Computer Science and Engineering, 3.82, Bachelor’s Degree, Computer Science and Engineering, 3.82 at North South University
High School, Science, High School, Science at Government Science College
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of British Columbia